Derivative (analysis)
From Maths
Contents
[hide]Definition
There are 2 kinds of derivative, a strong derivative (AKA the Fréchet derivative, total derivative[reqref 1]) one and a directional derivative one (AKA the Gateaux derivative, weak derivative)
Strong derivative
TODO: List of conditions
TODO: Weak derivative
Required references
- <cite_references_link_accessibility_label> ↑ Requires reference
References
OLD PAGE
Note to self: don't forget to mention the h or x−x0 thing doesn't matter
Definition
- Note: there are 2 definitions of differentiability, I will state them both here, then prove them equivalent.
Let U be an open set of a Banach space X, let Y be another Banach space.
- Let f:X→Y be a given map
- Let x0∈X be a point.
Definition 1
We say that f is differentiable at a point x0∈X if[1][2]:
- there exists a continuous linear map, Lx0∈L(X,Y) such that:
- T(x0+h)−T(x0)=Lx0(h)+r(x0,h) where limh→0(∥r(x0,h)∥∥h∥)=0
Definition 2
We say that f is differentiable at a point x0∈X if[2]:
- there exists a continuous linear map, Lx0∈L(X,Y) such that:
- limh→0(f(x0+h)−f(x0)−Lx0(h)∥h∥)=0
Hybrid definition
These naturally lead to: We say that f is differentiable at a point x0∈X if:
- there exists a continuous linear map, Lx0∈L(X,Y) such that:
- limh→0(∥f(x0+h)−f(x0)−Lx0(h)∥∥h∥)=0
Extra workings for proof
- there exists a continuous linear map, Lx0∈L(X,Y) such that:
- T(x0+h)−T(x0)=Lx0(h)+r(x0,h) where limh→0(∥r(x0,h)∥∥h∥)=0
- This can be interpreted as ∃Lx0∈L(X,Y)[limh→0(∥r(x0,h)∥∥h∥)=0⟹T(x0+h)−T(x0)=Lx0(h)+r(x0,h)]
- Which is
- ∃Lx0∈L(X,Y)∀ϵ>0∃δ>0∀h∈X[0<∥h−x∥<δ⟹∥r(x0,h)∥∥h∥<ϵ⟹T(x0+h)−T(x0)=Lx0(h)+r(x0,h)]
- Does this make sense though? We need r(x0,⋅) to be given, surely a form with r(x0,h)=T(x0+h)−T(x0)−Lx0(h) in the numerator would make more sense? No of course not.
- ∃Lx0∈L(X,Y)∀ϵ>0∃δ>0∀h∈X[0<∥h−x∥<δ⟹∥r(x0,h)∥∥h∥<ϵ⟹T(x0+h)−T(x0)=Lx0(h)+r(x0,h)]
- Which is